Senior Data Engineer

Candidate Description

With more than 13 years immersed in data architecture, engineering, and analytics, this professional has crafted enterprise-grade platforms for organisations such as a Utilities Provider, a Financial Institution, and a Facilities Management Company. They combine deep expertise across Microsoft Azure, AWS, and modern data-platform components with proven leadership in stakeholder alignment, governance frameworks, and scalable solution design. Their broad exposure spans financial services, government utilities, not-for-profit, sports, and facilities management sectors.

Adept at designing robust data platforms, they have delivered Azure Synapse and Databricks-powered warehouses, medallion lakehouse architectures, and governed API layers. Key achievements include orchestrating HCM migrations with secure ELT pipelines, integrating disparate systems into unified enterprise data warehouses, and implementing Microsoft Fabric proofs-of-concept for unified analytics. Their technical repertoire covers Python, T-SQL, Spark, Power BI, Azure Data Factory, Logic Apps, and CI/CD automation via Azure DevOps, all executed within Agile and Waterfall SDLC frameworks.

Demonstrating versatile leadership, they mentor cross-functional teams, embed security-by-design principles, and translate complex requirements into performant, compliant solutions. Their ability to engage C-suite stakeholders, champion data-driven strategies, and govern enterprise information assets positions them as a valuable catalyst for organisations seeking to modernise data capabilities and unlock actionable insights at scale.